Using item response theory (IRT), we examined the Rheumatoid Arthritis Self-efficacy scale (RASE) collected from a People with Arthritis Can Exercise RCT (346 participants) and 2 subscales of the Arthritis Self-efficacy scale (ASE) collected from an Active Living Every Day (ALED) RCT (354 participants) to determine which one better identifies low arthritis self-efficacy in community-based adult...

Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item response models. The accuracy of these methods,...

A mantra often repeated in the introductory material to psychometrics and Item Response Theory (IRT) is that a Rasch model probabilistic version of Guttman scale. The idea comes from observation sigmoidal item response function provides characteristic models an It appears, however, more difficult reconcile assumption local independence, which traditionally accompanies model, with dependence exi...

In spite of the growing popularity of the item response theory (IRT), classical item analysis (CIA) is still frequently employed by psychometricians and teachers for its conceptual and computational simplicity. This article will introduce how SAS can be applied to CIA such as computing p-values, discriminations, point biserial correlations, and logits. In addition, option analysis, which is hel...

BACKGROUND Performance on psychometric tests is key to diagnosis and monitoring treatment of dementia. Results are often reported as a total score, but there is additional information in individual items of tests which vary in their difficulty and discriminatory value. Item difficulty refers to an ability level at which the probability of responding correctly is 50%. Discrimination is an index ...

The purpose of this study is to apply an integrated algorithm for knowledge structure analysis. The integrated algorithm includes Item Response Theory (IRT) and Fuzzy Structural Modeling (FSM). The authors use the psychometric model IRT for calculation the ability of task-takers. Based on original response data and item-concept matrix, the individualized fuzzy subordinate matrix is acquired. FS...

Effective and efficient assessment of a learner’s proficiency has always been a high priority for intelligent e-Learning environments. The fields of psychometrics and Computer Adaptive Testing (CAT) provide a strong theoretical and practical basis for performing skills assessment, of which Item Response Theory (IRT) is the best recognized approach. For assessing multiple skills at once, which i...

BACKGROUND The Children's Response Styles Questionnaire (CRSQ) is a widely-adopted inventory that assesses response styles in youths. It is useful in examining how coping styles (particularly rumination) may relate to depressive vulnerability in youths. Despite its utility, little is known about its applicability in non-Western cultures and CRSQ has not been evaluated using current psychometric...

BACKGROUND Although biostatistics and clinical epidemiology are essential for comprehending medical evidence, research has shown consistently low and variable knowledge among postgraduate medical trainees. Simultaneously, there has been an increase in the complexity of statistical methods among top-tier medical journals. AIMS To develop the Biostatics and Clinical Epidemiology Skills (BACES) ...